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Statistical learning theory
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#	Item
251	A DATA-ORIENTED, ACTIVE LEARNING, POST-CALCULUS INTRODUCTION TO STATISTICAL CONCEPTS, METHODS, AND THEORY Allan J. Rossman and Beth L. Chance Department of Statistics Add to Reading List Source URL: icots.info Language: English - Date: 2014-06-11 18:17:52 Statistics education Statistical theory Statistical inference Survey methodology Mathematics Mathematical statistics Advanced Placement Statistics Probability Sample size determination Statistics Mathematical sciences Mathematics education
252	Collaborative Prediction and Ranking with Non-Random Missing Data Benjamin M. Marlin Richard S. Zemel Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2009-08-17 20:00:28 Estimation theory Statistical theory Statistical models Collaborative filtering Recommender system Regression analysis Mixture model Expectation–maximization algorithm Cross-validation Statistics Machine learning Information retrieval
253	Using Statistical Learning Theory to Rationalize System Model Identification and Validation Part I: Mathematical Foundations Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2012-09-20 14:36:39 Control theory Vector space Differential equation Algebra Mathematics PCI eXtensions for Instrumentation
254	Journal of Artificial Intelligence Research441 Submitted 03/12; publishedTransforming Graph Data for Statistical Relational Learning Ryan A. Rossi Add to Reading List Source URL: jair.org Language: English - Date: 2012-10-30 19:53:21 Graph theory Mathematics Statistical relational learning Database Topology Knowledge representation and reasoning Graph Electronics Social network analysis software Statistics Machine learning Database management systems
255	A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data Do-kyum Kim, Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering, University of California, San D Add to Reading List Source URL: cseweb.ucsd.edu Language: English Estimation theory Learning Statistical theory Semi-supervised learning Expectation–maximization algorithm Supervised learning Support vector machine Maximum likelihood Stability Statistics Machine learning Statistical classification
256	JMLR: Workshop and Conference Proceedings vol–32 24th Annual Conference on Learning Theory Sample Complexity Bounds for Differentially Private Learning Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-09-27 03:12:47 Ethics Artificial intelligence Learning Statistical classification Applied probability Exponential mechanism Differential privacy Empirical risk minimization VC dimension Machine learning Data privacy Statistics
257	COPYRIGHT NOTICE: Xavier Vives: Information and Learning in Markets is published by Princeton University Press and copyrighted, © 2008, by Princeton University Press. All rights reserved. No part of this book may be rep Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2008-04-16 10:44:04 Estimation theory Statistical theory Statistics
258	Sample-Efficient Strategies for Learning in the Presence of Noise ` CESA-BIANCHI NICOLO University of Milan, Milan, Italy Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2003-04-11 14:30:58 Computational learning theory Probably approximately correct learning Sample size determination PP Central limit theorem Statistical power Expected value Statistics Theoretical computer science Hypothesis testing
259	Iowa State University Department of Computer Science Machine Learning (Com S 573) Vasant Honavar Spring 2010 Problem Set 2 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-02-07 17:52:45 Statistical theory Auburn Hills Michigan Chrysler Dodge Likelihood function Maximum likelihood XK Estimation theory Statistics Bayesian statistics
260	Microsoft Word - Walker_ACMGIS_paper_QUT_eprint_version.doc Add to Reading List Source URL: www.norsys.com Language: English - Date: 2014-04-29 22:36:32 Bayesian network Networks Statistical theory Bayesian inference Graphical model Bayesian probability Spatial analysis Statistical classification Machine learning Statistics Bayesian statistics Statistical models

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